Adapting reservoir operation rules to hydrological drought state and environmental flow requirements

Zolfagharpour, Farshid; Saghafian, Bahram; Delavar, Majid

doi:10.1016/j.jhydrol.2021.126581

Cited by 10 publications

(8 citation statements)

References 39 publications

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“…Also, according to the study of the CLDs of this regime shift, the dominant feedback is related to the increase in water use around the metropolis of Isfahan since the early 1950s and consequently the increase in water transfer operations, and then the increase in agricultural, and industrial production and population growth, which then act as a reinforcing feedback loop in the system, gradually reducing the system's resilience to water scarcity due to climate change, and as a result, in 2008, caused a severe regime shift in eight hydrometric studied stations. The occurrence of intermittent droughts from 2008 to 2012 (Farsi et al, 2020; Nabiafjadi et al, 2021; Zolfagharpour et al, 2021) acted as a trigger factor, and along with the loss of resilience of the water systems due to the reasons mentioned, has caused severe regime shifts in surface water flow and consequently in other investigated systems. These results are consistent with the results of Gohari et al (2013) and Ravar et al (2020) regarding the dynamics of dominant feedback loops in the Zayandeh‐Rud SES.…”

Section: Discussionmentioning

confidence: 99%

“…Large industrial centers such as steel and petrochemical industries near the metropolis of Isfahan also use the water of this river. Also, the Guvkhouni swamp, which is a suitable place for wildlife, especially migratory birds, is located at the end of this river basin (Nabiafjadi et al, 2021; Zolfagharpour et al, 2021).…”

Section: Methodsmentioning

confidence: 99%

“…In the 1950s, due to the increase in technology in the province of Isfahan and consequently the increase in population, the need for water increased, and as a result, the managers of the time implemented water transfer projects from upstream and adjacent basins to this area. Then, due to the increase in water resources, industrial and agricultural centers in this area have also developed and this trend has continued to date with the implementation of new water transfer projects (Gohari et al, 2013; Zamani et al, 2019; Zolfagharpour et al, 2021). As a result of these gradual changes and with the increase of stresses affected by climate change in this area, in recent years, drastic shifts have taken place in the ecosystem of the Zayandeh‐Rud River Basin.…”

Section: Introductionmentioning

confidence: 99%

“…tem's resilience to water scarcity due to climate change, and as a result, in 2008, caused a severe regime shift in eight hydrometric studied stations. The occurrence of intermittent droughts from 2008 to 2012(Farsi et al, 2020;Nabiafjadi et al, 2021;Zolfagharpour et al, 2021) acted as a trigger factor, and along with the loss of resilience of the water systems due to the reasons mentioned, has caused severe regime shifts in surface water flow and consequently in other investigated systems. These results are consistent with the results of Gohari et al (2013) and Ravar et al (2020) regarding the dynamics of dominant feedback loops in the Zayandeh-Rud SES.…”

mentioning

confidence: 99%

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Dryland river regime shifts in Iran: Drivers and feedbacks

Rahimi

Ghorbani

Ahmadaali

et al. 2023

River Research & Apps

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In the Anthropocene, human activities have created unprecedented changes and nonlinear relationships between humans and nature. These changes can be much faster and more intense in arid and semiarid areas that have been affected by intense human activities. Iran has climates from very humid to very dry, but arid and semiarid climates cover the country's largest area. Many of these arid areas have undergone severe changes in their surface and groundwater ecosystems in recent years, which have caused severe damage to humans and the environment in the area and surrounding areas. Therefore, in this study, using the theory of regime shifts, the time series of the Zayandeh‐Rud River Basin in the center of Iran were analyzed. First, the data of the desired time series in the period of 1986–2018 was arranged seasonally. Then, using the sequential t‐test method, regime shifts in these time series were identified, and then, causal loop diagrams of these shifts and their drivers and feedbacks were interpreted. The results showed that in the time series of quantity and quality of surface water and groundwater level in the studied stations and aquifers, regime shifts can be identified. Regime shifts were also identified in the time series of agricultural land area. These shifts have occurred with the increase in human activities since the early 1950s in the metropolis of Isfahan, the increase in agricultural and industrial exploitation, and consequently, the increase in population. When this reinforcing feedback loop becomes dominant, the Zayandeh‐Rud River system has shifted from a regime of rich water resources to a regime of poor water resources. However, by recognizing and systematically analyzing these shifts, the Zayandeh‐Rud River system can be directed toward a sustainable system through structural reform, negotiation, and redefining goals.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Dryland river regime shifts in Iran: Drivers and feedbacks

Rahimi

Ghorbani

Ahmadaali

et al. 2023

River Research & Apps

View full text Add to dashboard Cite

show abstract

“…As a typical industry, exible industrial workshops are facing new situations such as large price uctuations, high gas supply pressure, and the continuous emergence of new energy. At the same time, the international market competition is becoming increasingly erce, and environmental control is becoming increasingly strict [4,5]. For the production data acquisition system of exible industrial workshops, due to the poor quality of manually collected data and the lack of dynamic data, data communication and sharing have become the bottleneck restricting its development.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Data Scheduling of a Flexible Industrial Job Shop Based on Digital Twin Technology

Tian

Liu

2022

Discrete Dynamics in Nature and Society

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Aiming at the problems of premature convergence of existing workshop dynamic data scheduling methods and the decline in product output, a flexible industrial job shop dynamic data scheduling method based on digital twin technology is proposed. First, digital twin technology is proposed, which provides a design and theoretical basis for the simulation tour of a flexible industrial job shop, building the all-factor digital information fusion model of a flexible industrial workshop to comprehensively control the all-factor digital information of the workshops. A CGA algorithm is proposed by introducing the cloud model. The algorithm is used to solve the model, and the chaotic particle swarm optimization algorithm is used to maintain the particle diversity to complete the dynamic data scheduling of a flexible industrial job shop. The experimental results show that the designed method can complete the coordinated scheduling among multiple production lines in the least amount of time.

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Adaptive regulation based on the spatio‐temporal distribution of ecological flow surplus and deficit in the Hanjiang River basin

Song

Zhuang

et al. 2022

Ecohydrology

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Ecological flow has attracted considerable attention because intensive dam construction can cause changes in the hydrological situation and subsequent ecological environment problems. In the Hanjiang River basin, 15 cascade reservoirs are due to become operational in the main stream in the coming years. In this study, the calculation method of ecological flow surplus and deficit was proposed, and the key periods (KPs) and key areas (KAs) of ecological flow deficits were identified. Adaptive regulation strategies were proposed based on a new method. Results show that (1) the wet and normal years are in a state of ecological surplus. In the dry year, there is an ecological flow deficit of 370 million m 3 . The off-stream ecological water shortage is at its most serious in June. In the river channel, the ecological flow deficit usually appears in the winter. The Xiantao section in the lower reaches has a deficit every month in the typical water years. (2) In the off-stream region, the KPs cover months 6 to 9, and the KAs are the southeastern Hanzhong plain, Shiyan City, southeastern Nanyang basin, and the midwest of Xiangyang City. In the river channel, the KPs cover months 12 to 2 above the Shayang section, while in the downstream Xiantao section KA, the KP covers the whole year. The cooperative analysis of KPs and KAs can effectively improve the pertinence of watershed ecological flow regulation.

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Adapting reservoir operation rules to hydrological drought state and environmental flow requirements

Cited by 10 publications

References 39 publications

Dryland river regime shifts in Iran: Drivers and feedbacks

Dryland river regime shifts in Iran: Drivers and feedbacks

Dynamic Data Scheduling of a Flexible Industrial Job Shop Based on Digital Twin Technology

Adaptive regulation based on the spatio‐temporal distribution of ecological flow surplus and deficit in the Hanjiang River basin

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